• 한국해양공학회지
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• 제18권6호
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• pp.8-15
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• 2004

Wave power distribution is investigated to determine the optimal sites for wave power generation at Jeju sea which has the highest wave energy density in the Korean coastal waters. The spatial and seasonal variation of wave power per unit length is calculated in the Jeju sea area based on the monthly mean wave data from 1979 to 2002 which is produced by the SWAN wave model simulation in prior research. The selected favorable locations for wave power generation are compared in terms of magnitude of wave energy density and distribution characteristics of wave parameters. The results suggest that Chagui-Do is the most optimal site for wave power generation in the Jeju sea. The seasonal distribution of wave energy density reveals that the highest wave energy density occurs in the northwest sea in the winter and it is dominated by wind waves, while the second highest one happens at south sea in the summer and it is dominated by a swell sea. The annual average of wave energy density shows that it gradually increases from east to west of the Jeju sea. At Chagui-Do, the energy density of the sea swell sea is relatively uniform while the energy density of the wind waves is variable and strong in the winter.

• Journal of Advanced Marine Engineering and Technology
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• 제33권1호
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• pp.166-174
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• 2009

Gijang Sea is located on the southeastern coast of Korea. This study establishes a basic system to identify optimal sites for the wave power generation. To achieve this goal, the field measurements were made at the field site in front of Dong-am fishing port at Gijang. In addition, we analyzed the offshore wave data at the Donghae buoy operated by Korea Meteorological Administration(KMA) and compared the data with the wave characteristics in Gijang Sea. The main results were as follows. In winter, the wave direction in Gijang Sea ranged between east and south($90{\sim}180^{\circ}$). The main wave direction was east($90^{\circ}$). The Significant wave heights and periods were under 2 m and $5{\sim}15$ sec, respectively. A comparison of water depth and wave direction constitutes one(condition) of the important parameters for selecting the optimal site for the wave power generation.

• 한국해양공학회지
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• 제21권1호
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• pp.7-17
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• 2007

Based on the Boussinesq wave model, the wave distribution in the Chagui-Do sea area in Jeju was simulated by applying the directional irregular waves at an incident boundary. The time and spatial variations of monthly mean wave height and period were investigated, which aims to provide basic information on optimal sites for wave power generation. The grid size and time interval of the Boussinesq wave model were validated by examining wave distributions around a surface piercing wall, fixed at sea bottom with a constant slope. Except for the summer season, the significant wave height is dominated by wind waves and appears to be relatively high at the north sea of Chagui-Do, which is open to the ocean, while it is remarkably reduced at the rear sea of Chagui-Do because of its blocking effect on incident waves. In the summer, the significant wave height is higher at the south sea, and it is dominated by the swell waves, which is contributed by the strong south-west wind. The magnitude of significant wave height is the largest in the winter and the lowest in the spring. Annual average of the significant wave height is distinctively high at the west sea close to the Chagui-Do coast, due to a steep variation of water depth and corresponding wave focusing effect. The seasonal and spatial distribution of the wave period around Chagui-Do sea reveals very similar characteristics to the significant wave height. It is suggested that the west sea close to the Chagui-Do coast is the mast promising site for wave power generation.

• 대한조선학회논문집
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• 제42권3호
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• pp.212-219
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• 2005

Real sea waves in a towing wave basin have been generated using random periodic motion of the segmented wave makers and the wave reflections of sidewalls. Theoretically, the real sea waves can be described by the superposition of many random oblique waves. This paper introduces numerical real sea wave generation in a rectangular wave basin using spectral method that uses a superposition of orthogonal functions which have to satisfy the Laplace equation. Oblique regular waves, long crested irregular waves and real sea waves were simulated and met the requirement of sidewall wave reflection and wave absorption. MLM (Maximum Likelihood Method) and Spatial Fourier Transform were used in order to obtain propagated wave direction characteristics. The estimated results proved the usefulness of the method and the performances showed reasonable directional patterns comparing with generating patterns.

• 한국항해항만학회지
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• 제27권2호
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• pp.111-119
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• 2003

해상수송의 안전성을 개선하는 하나의 수란으로서, 해상풍 정보로부터 예정 항로상에서 조우하게될 파랑정보를 높은 정밀도로 예측하여 단시간에 본선에 제공할 수 있는 시스템을 개발할 필요가 있다. 본 연구에서는 이의 제1단계로서 대양에서의 다방향 불규칙파 예측을 위한 파랑추산모델을 제시하였다. 검토방법으로는 과거 실제 해역에서 발생한 황천에 기인한 선박 침몰사고를 대상으로 선박의 항행 일정에 따른 해상풍의 분석 및 파랑추산시뮬레이션을 수행하였으며, 이로부터 사고 선박이 조우한 해상을 평가하고 모델의 재현성 및 정도를 검토하였다. 연구비 결과, 사고 선박은 침몰사고의 원인이 Okhotsk해에서 발달한 저기압에 의해 급속히 성장한 고파랑 해역을 회피하지 못하여 발생한 것에 있음을 명백히 하였으며, 본 계산에 이용한 제3세대 파랑추산모델(WAM)로부터의 결과는 실제 관측 파랑의 유의파고, 주기, 방향 스펙트럼 등 항행관련의 파랑제원과 잘 부합되었으며, 실용 선박에서의 예측시스템 구축에 적용성이 양호한 것으로 나타났다.

• Journal of information and communication convergence engineering
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• 제5권3호
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• pp.223-228
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• 2007

This paper deals with the secondary excited induction generator applied to random wave input generation system. As it is preferred to stabilize the output voltage and frequency in the constant level, microcomputer controlled CSI connected to the secondary windings supplies the secondary current with slip frequency. For testing this method, the input torque simulator is constructed, according to the power flow analysis. The experimental and numerical results show the advantage of secondary excited induction generator system for the random input wave generation system.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2003년도 춘계공동학술대회논문집
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• pp.147-156
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• 2003

해상수송의 안전성을 개선하는 하나의 수단으로서, 해상풍 정보로부터 예정 항로상에서 조우하게될 파랑정보를 높은 정밀도로 예측하여 단시간에 본선에 제공할 수 있는 시스템을 개발할 필요가 있다. 본 연구에서는 이의 제1단계로서 대양에서의 다방향 불규칙 예측을 위한 파랑추산모델을 제시하였다. 검토방법으로는 과거 실제 해역에서 발생한 황천에 기인한 선박 침몰사고를 대상으로 선박의 항행 일정에 따른 해상풍의 분석 및 파랑추산시뮬레이션을 수행하였으며, 이로부터 사고 선박이 조우한 해상을 평가하고 모델의 재현성 및 정도를 검토하였다.연구의 결과, 사고 선박은 침몰사고의 원인이 Okhotsk해에서 발랄한 저기압에 의해 급속히 성장한 고파랑 해역을 회피하지 못하여 발생한 것에 있음을 명백히 하였으며, 본 계산에 이용한 제3세대 파랑추산모델(WAM)로부터의 결과는 실제 관측 파랑의 유의파고, 주기, 방향 스펙트럼 등 항행관련의 파랑제원과 잘 부합되었으며, 실용 선박에서의 예측시스템 구축에 적용성이 양호한 것으로 나타났다.

• 한국해양환경ㆍ에너지학회지
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• 제7권3호
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• pp.137-145
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• 2004

제주해역의 상기 파랑분포 특성을 제3세대 파랑모델인 SWAN모델에 의한 시뮬레이션을 통해 고찰하였다. 제주해역은 한국 연안에서 파랑에너지 밀토가 상대적으로 큰 해역으로 파력발전에 적합한 후보지이며, 파력발전 효율은 해역의 파랑특성 인자들에 밀접히 연관되어 있다. 파랑분포는 한국해양연구원의 광역 장기 파랑추산 자료의 월평균 파랑특성을 경계조건으로 1 km 격자의 SWAN모델 시뮬레이션을 통해 획득하였으며, 파랑분포 해석은 유의파고, 평균 파향, 평균 과주기의 계절적ㆍ공간적 변화특성 고찰을 주목적으로 하였다. 유의파고는 겨울과 여름이 우세하며, 지역적으로는 제주도의 서쪽이 동쪽에 비해 유의파고가 높다. 유의파고의 최고치는 겨울에 북서쪽 해역에서 발생하며, 여름철의 남동쪽 해역이 다음으로 우세하고, 봄가을은 전체적으로 파고가 낮으나 분포가 비교적 균일하다. 파향의 분포는 회절의 영향을 받는 배후지역을 제외하면, 여름에는 북서 방향이 지배적이고, 겨울에는 남동 방향이 지배적이다. 파주기는 여름과 겨울철에 길고, 동쪽에 비해 서쪽 해역에서 길게 나타난다. 파주기의 최대치는 겨울에 서쪽 해역에서 발생하고, 여름에는 남쪽 해역의 파주기가 다소 우세하나 비교적 균일한 분포를 갖는다.

• 대한조선학회 특별논문집
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• 대한조선학회 2005년도 특별논문집
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• pp.15-21
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• 2005

In this paper, the procedure of generation and application of nonlinear wave loads for structural design of large container carrier was described. Ship motion and wave load was calculated by modified strip method. Pressure acting on wetted hull surface was calculated taking into account of relative hull motion to the wave. Design wave height was determined based on the most sensitive wave length considering rule vertical wave bending moment at head sea or fellowing sea condition. And the enforced heeling angie concept which was introduced by Germanischer Lloyd (GL) classification had been used to simulate high torsional moment in way of fore hold parts similar to actual sea going condition. Using wave load generated from this dynamic load calculation, FE analyses were performed. With this result, yielding, buckling, hatch diagonal deflection and fatigue strength of hatch corners were reviewed based on the requirement of GL classification. The results of FE analysis show good compatibility with GL classification.

• 한국해양공학회지
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• 제35권4호
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• pp.273-286
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• 2021

In recent years, as human casualties and property damage caused by hazardous waves have increased in the East Sea, precise wave prediction skills have become necessary. In this study, the Simulating WAves Nearshore (SWAN) third-generation numerical wave model was calibrated and optimized to enhance the accuracy of winter storm wave prediction in the East Sea. We used Source Term 6 (ST6) and physical observations from a large-scale experiment conducted in Australia and compared its results to Komen's formula, a default in SWAN. As input wind data, we used Korean Meteorological Agency's (KMA's) operational meteorological model called Regional Data Assimilation and Prediction System (RDAPS), the European Centre for Medium Range Weather Forecasts' newest 5th generation re-analysis data (ERA5), and Japanese Meteorological Agency's (JMA's) meso-scale forecasting data. We analyzed the accuracy of each model's results by comparing them to observation data. For quantitative analysis and assessment, the observed wave data for 6 locations from KMA and Korea Hydrographic and Oceanographic Agency (KHOA) were used, and statistical analysis was conducted to assess model accuracy. As a result, ST6 models had a smaller root mean square error and higher correlation coefficient than the default model in significant wave height prediction. However, for peak wave period simulation, the results were incoherent among each model and location. In simulations with different wind data, the simulation using ERA5 for input wind datashowed the most accurate results overall but underestimated the wave height in predicting high wave events compared to the simulation using RDAPS and JMA meso-scale model. In addition, it showed that the spatial resolution of wind plays a more significant role in predicting high wave events. Nevertheless, the numerical model optimized in this study highlighted some limitations in predicting high waves that rise rapidly in time caused by meteorological events. This suggests that further research is necessary to enhance the accuracy of wave prediction in various climate conditions, such as extreme weather.